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Federal
Presence and abundance data and models for four invasive plant species
Department of the Interior —
We developed habitat suitability models for four invasive plant species of concern to Department of Interior land management agencies. We generally followed the... -
Federal
Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe
Department of the Interior —
In this project, we used an advanced statistical downscaling method that combines high-resolution observations with outputs from 16 different global climate models... -
Federal
Tree mortality in western US national parks and forests (2019)
Department of the Interior —
This data consists of observations of individual trees that were or were not subjected to prescribed fire in western US national parks and forests. Information on... -
Federal
Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America
Department of the Interior —
LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32... -
Federal
Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970)
Department of the Interior —
TR-33: Maps are presented showing the areal distribution in the contiguous 48 states of evaporation (1) observed from Class A pans from from May through October, (2)... -
Federal
United States Stage IV Quantitative Precipitation Archive
Department of the Interior —
This dataset offers hourly estimates of radar indicated rain gage corrected precipitation at a roughly 4km spatial resolution. Mosaicked into a national product at... -
Federal
Simulated Daily Surface Water Permit Requested Diversions and Diversions for Southeast Oklahoma
Department of the Interior —
RiverWare simulated daily averaged surface water permit requested diversions and diversions modeled in the spatially refined model region within the Red River Basin.... -
Federal
Measures of Quality and Extent of Partner Involvement with the Pacific Islands Climate Adaptation Science Center from a 2017 Web-based Survey
Department of the Interior —
This dataset consists of responses to a standardized, web-based survey of partners and potential partners of the Pacific Islands Climate Adaptation Science Center... -
Federal
Elevation, Region 17, Continuous Parameter Grid (CPG)
Department of the Interior —
This dataset is a continuous parameter grid (CPG) of mean basin elevation data (30 meter pixels) in the Pacific Northwest. Source data come from the U.S. Geological... -
Federal
Figure 4. Climate-driven acreage changes by 2031-’60 relative 1981-2005 showing major crops reported in Arora et al Ag Econ submission
Department of the Interior —
Land use change ranges in each panel are in acres per thousand county acres. The white colored counties represent missing yields for at least one crop in all years. -
Federal
Evapotranspiration (ET), monthly mean, 2000-2015, Region 17, Continuous Parameter Grid (CPG)
Department of the Interior —
These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific... -
Federal
Land use in the Dakotas 2006 (a) showing major crops reported in Arora et al Ag Econ submission
Department of the Interior —
2006 Land Use in the Dakotas (Cropland Data Layer, USDA NASS). The color legend represents various land use types in the region. -
Federal
Smoothed snow depth data, location, raw data with headers, and associated metadata for University of Idaho Experimental Forest Lawler Landing site
Department of the Interior —
UIEF_wind Summary: Within the Flat Creek Unit of the University of Idaho Experimental Forest (UIEF) near Moscow, ID, 30-minute snow depth and meteorological data were... -
Federal
Manual snow course observations, raw met data, raw snow depth observations, locations, and associated metadata for Oregon sites
Department of the Interior —
OSU_SnowCourse Summary: Manual snow course observations were collected over WY 2012-2014 from four paired forest-open sites chosen to span a broad elevation range.... -
Federal
Standardized Soil Moisture Measurements from Sparse Networks in South Central United States from 2008 to 2017
Department of the Interior —
This dataset contains standardized in-situ soil moisture measurements from four sparse soil moisture monitoring networks in the South Central United States. This... -
Federal
Hydrology and climate elements on the Rio Grande/Bravo basin
Department of the Interior —
This is one of five general categories that contain the water related elements of the Rio Grande/Bravo basin. This category includes some of hydrologic and climatic... -
Federal
Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers
Department of the Interior —
Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along... -
Federal
GFDL-ESM2M: Downscaled climate projections at 800m spatial resolution for north central United States based on the Multivariate Adaptive Constructed Analog (MACA) method
Department of the Interior —
This dataset provides downscaled climate projections at 800m spatial resolution for nine ecologically-relevant climate variables for the north central US region... -
Federal
Documentation of the Perspectives and Experiences of Partners with the Pacific Islands Climate Adaptation Science Center from Two 2018 Focus Groups
Department of the Interior —
This dataset consists of transcripts from two focus groups with science users (1st group) and science producers (2nd group) who were partners of the Pacific Islands... -
Federal
Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin: 2018-2050
Department of the Interior —
As part of a 2018 Northwest Climate Adaptation and Science Center project, USGS researchers are releasing a series of spatially-explicit land-cover projections for...